Search “OpenAI”

1Password Launches Credential Management Platform 1Password for Agents for AI Agents

1Password has released 1Password for Agents, allowing supported AI agents to access credentials in a user's personal 1Password vault in order to complete tasks on their behalf. At launch, the platform supports agents such as Anthropic Claude Duet, Meta Muse, OpenAI ChatGPT, and Dots. The agents themselves cannot see the user's credentials; after the user approves the login, 1Password fills in the credentials directly without sending them to the agent. 1Password said that partners including Browserbase, Browser Use, Perplexity, and Ramp will also add support in succession.

1Password Launches 1Password for Agents, Letting AI Agents Complete Logins Without Seeing Passwords

1Password has launched 1Password for Agents, connecting its password vault to AI agents: when an agent reaches a login form, it authenticates to 1Password using a digital key; after the user confirms which credentials are needed and what they are for, 1Password fills in the form directly—credentials are never handed to the agent and are removed once login succeeds, so the agent cannot read or reuse them. The integration currently supports only Meta's Muse and Grok Bot, with OpenAI Dots and Anthropic Claude Duet to follow.

AI is changing hacker offense and defense, and the PHP2Shell vulnerability has sparked "Black October" concerns

404 Media reports that AI is simultaneously changing offensive hacking and security defense: after researchers used AI to discover the PHP2Shell vulnerability in PHP, Cloudflare observed thousands of exploitation attempts 10 hours before public disclosure, rising to tens of thousands 45 minutes after disclosure, and reaching hundreds of thousands within 2 hours. OpenAI says such discoveries show that AI can expose security flaws at internet scale, but the same capability can also help attackers rapidly develop attack tools; Chainguard's early release of a fix patch sparked controversy over bypassing the disclosure embargo. The article notes that the main impact so far is still various parties proactively patching or taking services offline, and large-scale actual exploitation of the vulnerability has not yet occurred.

Anthropic red-teams Auto Mode: production monitoring fails to block more than 55% of malicious coding agents

Anthropic's Alignment Science blog published research using Opus 5 red-team agents to conduct adversarial testing against production interception monitoring such as Claude Code's Auto Mode and OpenAI Codex's Guardian, finding that on average more than 55% of attacks were not intercepted. The most effective attack methods included agent-generated prompt injection, multi-context attacks across sessions or compressed summaries, and exploiting coverage gaps where edits within the working directory are not monitored. The team introduced Auto Mode++ through improvements such as transcript-format escaping and heredoc framing, monitoring all edits, and adding a tool-call investigation agent, reducing the attack success rate by more than 50 percentage points, but reliably defending against multi-context attacks still directly conflicts with latency costs.

Greg Brockman shares new lead from GPT-Rosalind in drug discovery

Greg Brockman shared OpenAI's progress on GPT-Rosalind: the model has surfaced a new lead in drug discovery, namely whether restoring cholesterol transport could protect neurons from degeneration. OpenAI says DCTN1 is a gene associated with Perry syndrome, and that disrupting it in mouse brain data increased the expression of genes involved in cholesterol synthesis; on this basis, GPT-Rosalind hypothesized that cholesterol may not be reaching where neurons need it. In collaboration with PerturbAI and Scripps Research, thousands of GPT-Rosalind agents worked in parallel, linking gene expression results from millions of mouse brain cells with scientific literature within 32 minutes, and OpenAI says it is expanding this collaboration to find new drug targets.

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Alibaba Cloud Model Studio Token Plan Team Edition Subscription and API Access Guide

Alibaba Cloud Model Studio Token Plan Team Edition uses Credits as a unified billing unit. A single subscription provides access to more than ten text and image models, including Qwen3.7-Max, GLM-5.2, DeepSeek-V4-Pro, and Kimi-K2.6, and is compatible with both the OpenAI and Anthropic protocols. The plan comes in three tiers: Standard with 25,000 Credits, Advanced with 100,000 Credits, and Premium with 250,000 Credits. A dedicated API Key with the sk-sp- prefix can be generated only after seats are allocated. Access requires using the corresponding Base URL, and the plan is completely isolated from the Coding Plan and pay-as-you-go systems.

Google Cloud Brings GPT-Astra and GPT-6 Series to Model Garden

On October 21, 2026, Google Cloud announced the launch of OpenAI's GPT-Astra, GPT-6.1 Sol, and GPT-6 Luna on Model Garden, with all three models opening private preview to select enterprise customers the same day. GPT-Astra targets coding, computer operation, professional tasks, and scientific research; GPT-6.1 Sol focuses on lower-cost agentic coding and professional work; GPT-6 Luna is positioned for fast, low-cost large-scale everyday tasks. OpenAI models are billed through Google Cloud Marketplace, with usage consolidated into a single bill and applied toward existing cloud commitments, allowing customers to dynamically switch models based on performance, latency, and cost.

Nvidia launches Open Agent Safety Platform, using BlueField-4 DPU to monitor agents

At GTC Berlin, Nvidia launched the Open Agent Safety Platform, adding hardware-level controls around the open-source runtime OpenShell; a BlueField-4 DPU works with Sentry software to independently monitor agent behavior and, when it crosses boundaries, isolate and stop it within milliseconds. OpenShell supports third-party agent frameworks such as Anthropic's Claude Code and OpenAI's Codex, and Nvidia says more than 100 organizations already use the platform's technology. Nvidia also introduced the Agent Knowledge Foundation and the Auto-Ontology library, designed to let agents access structured and unstructured data without enterprise data leaving local premises, and expanded its Nemotron 3.5 Super VL, Nemotron 3.5 Bolt 74B-A9B and Kumo series models.

Trump says large data centers must generate their own power and pay cash dividends to communities

In a Truth Social post, Trump said large new data centers must generate their own power and pay cash "dividends" to their host communities. The closest existing commitment is the Ratepayer Protection Pledge signed in March this year by Amazon, Google, Meta, Microsoft, OpenAI, Oracle and xAI, under which signatories pledged to build or purchase generating capacity and bear infrastructure upgrade costs, but experts believe the pledge may not be enforceable at the federal level. Trump said some projects that were initially highly unpopular became popular after financial agreements were reached, and the dividend proposal goes further than those pledges.

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